Graham Wheeler

77 total papers · 1.7k total citations
31 papers, 828 citations indexed

About

Graham Wheeler is a scholar working on Statistics and Probability, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Graham Wheeler has authored 31 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Oncology. Recurrent topics in Graham Wheeler's work include Statistical Methods in Clinical Trials (13 papers), Optimal Experimental Design Methods (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Graham Wheeler is often cited by papers focused on Statistical Methods in Clinical Trials (13 papers), Optimal Experimental Design Methods (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Graham Wheeler collaborates with scholars based in United Kingdom, United States and France. Graham Wheeler's co-authors include Adrian Mander, Christina Yap, Alun Bedding, Christopher J. Weir, Thomas Jaki, Lang’o Odondi, Jane Holmes, Philip Pallmann, Lisa V. Hampson and James Wason and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Graham Wheeler

30 papers receiving 816 citations

Hit Papers

Adaptive designs in clini... 2018 2026 2020 2023 2018 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Graham Wheeler 269 164 124 106 88 31 828
John D. Emerson 251 0.9× 106 0.6× 128 1.0× 31 0.3× 17 0.2× 48 1.0k
Perrine Janiaud 82 0.3× 152 0.9× 129 1.0× 21 0.2× 8 0.1× 46 944
SJ Pocock 196 0.7× 132 0.8× 45 0.4× 21 0.2× 13 0.1× 16 987
Babak Choodari‐Oskooei 352 1.3× 214 1.3× 71 0.6× 95 0.9× 3 0.0× 32 834
Maurice J. Staquet 100 0.4× 119 0.7× 77 0.6× 19 0.2× 6 0.1× 23 822
Sangita Kulathinal 185 0.7× 58 0.4× 94 0.8× 21 0.2× 6 0.1× 58 860
Alan Bauck 42 0.2× 82 0.5× 224 1.8× 162 1.5× 34 0.4× 20 965
Tra My Pham 105 0.4× 69 0.4× 136 1.1× 16 0.2× 16 0.2× 23 941
Roy Pardee 30 0.1× 101 0.6× 144 1.2× 37 0.3× 98 1.1× 18 933
G. Frank Liu 375 1.4× 95 0.6× 34 0.3× 94 0.9× 4 0.0× 43 919

Countries citing papers authored by Graham Wheeler

Since Specialization
Citations

This map shows the geographic impact of Graham Wheeler's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Graham Wheeler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graham Wheeler more than expected).

Fields of papers citing papers by Graham Wheeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Graham Wheeler. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Graham Wheeler. The network helps show where Graham Wheeler may publish in the future.

Co-authorship network of co-authors of Graham Wheeler

This figure shows the co-authorship network connecting the top 25 collaborators of Graham Wheeler. A scholar is included among the top collaborators of Graham Wheeler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Graham Wheeler. Graham Wheeler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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